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# Guide to the new features of Apache Airflow 3.0
January 29, 2026 by [user](https://www.e-time.it/en/author/carla/index.md) [News](https://www.e-time.it/en/category/news-en/index.md)
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**INDEX**
1. [Service-Oriented Architecture in Airflow 3.0 and Task Execution API](#cosa)
2. [Edge Executor in Airflow: distributed orchestration and task execution](#qualefunzione)
3. [DAG Versioning: workflow management in Airflow 3.0](#sistemidiiam)
4. [Revamped User Interface in Airflow 3.0](#ruolo)
5. [Migrating to Airflow: Compatibility and Tools](#migrazione)
**Apache Airflow version 3.0** represents a significant evolutionary leap compared to previous releases.
This update is designed to meet the growing need **to orchestrate complex workflows** and establishes itself as a benchmark for the **development of enterprise data-driven solutions**. **Key updates** introduced include:
## 1.Service-Oriented Architecture in Airflow 3.0 and Task Execution API
One of the most significant changes concerns the internal structure of the system: Airflow 3.0 evolves towards a **service-oriented architecture** supported by the new **Task Execution Interface**. Thanks to a **dedicated API Server**, DAG parsing logic is separated from task execution, potentially **improving flexibility and security**.
This design allows tasks to be executed in **multi-cloud and hybrid environments**, providing SDKs for tasks in different languages, enabling the **definition and execution of pipelines** while reducing some infrastructure constraints.
### 2.Edge Executor in Airflow: distributed orchestration and task execution
To extend orchestration beyond central data centers, **Airflow 3.0** introduces the **Edge Executor (AIP-69)**, available through a provider package.
Based on the **Task Execution Interface**, this executor allows pipelines to run on remote or “edge” devices, enabling distributed management of workflows across geographical locations. Integration with the API Server ensures efficient **handling of remote tasks** within the main DAGs.
### 3.DAG Versioning: workflow management in Airflow 3.0
The new architecture lays the **foundation for associating DAG** runs with a **more stable representation of the code** and task structure at the time of execution, reducing the impact of changes applied during runtime.
Although it is not yet a fully native versioning system, these improvements help **increase pipeline stability** and lay the groundwork for **more controlled workflow** management over time.
### 4.Revamped User Interface in Airflow 3.0
The **Airflow 3.0 user interface (UI)** has been completely redesigned using React and relies on new REST APIs built with FastAPI, providing a faster and more intuitive user experience.
The **new interface** improves the seamless i**ntegration of asset-based and task-based workflows**, removes navigation constraints, and offers advanced tools such as Grid View and Graph View, making the platform more responsive and accessible.
### 5\. Migrating to Airflow: Compatibility and Tools
To facilitate the upgrade, despite the architectural changes, Airflow 3.0 maintains **backward compatibility for existing DAGs** thanks to the Python Task SDK.
The **transition can be carried out gradually**: teams can start working on assets or test execution in Docker environments before moving to production
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